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Hanfu Song/宋制汉服SDXL

129
849
590
14
Updated: Sep 16, 2023
clothingchinesehanfuchinagufeng
Verified:
SafeTensor
Type
LoRA
Stats
849
590
Reviews
Uploaded
Sep 16, 2023
Base Model
SDXL 1.0
Trigger Words
szhf dress
Hash
AutoV2
53C8CFDAA5
0
0
0
0

SDXL的宋制汉服LORA,女生版。

使用指南:

1、触发词 szhf dress。不过这个触发词用不用都行,用了就是权重高一些。

2、建议权重0.6-0.8;

3、支持宋制汉服的各种特殊样式。(不加以下细分词,就随机出。)

可以通过在关键词里添加beizi,画出宋服里的褙子;short beizi 画出短褙子;wide sleeve画出大袖,narrow sleeve画出窄袖;shan 画出交领衫或裙掩衣的上衣;belts 画出腰带;shawl 画出披帛,xiapi 画出霞披;pleated skirt 画出百褶裙;

另外,还可以通过with a guan on her head画出宋冠(但是冠出图的概率比其他样式低,数据集里冠的图太少了,只是顺带着训了训。)

4、我自己初步测下来感觉泛化性还行,大家可以参考我发出来的测试图,都是未做高清修复和放大的模型直出图。虽然是写实模型,但和其他模型配合,能产出二次元或插画类的图。

5、各种比例的横图、竖图也都能跑,不过因为主要是以3:4训的,所以也许3:4出图效果最好;

6、这个模型主要是一个汉服LORA,脸和手可能表现一般,目前出全身图的时候建议开启After Detailer。(或者以后我会针对这部分做微调。)

7、最后,欢迎同学们多多返图和提意见,比心!

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How to use it:

1. The trigger word is szhf dress. You can skip it, but using it gives the style more weight.

2. I recommend 0.6-0.8 for the weight.

3. It supports kinds of Song dynasty hanfu styles. (It'll randomly generate stuff if you don't specify.)

You can add “beizi” in the keywords to generate 褙子; “short beizi” for 短褙子; “wide sleeve” for 大袖, “narrow sleeve” for 窄袖; “shan” for 交领衫或裙掩衣的上衣 ; “belts” for 腰带; “shawl” for 披帛, “xiapi” for 霞披; “pleated skirt” for 百褶裙.

Additionally, you can add "with a guan on her head"for 宋冠, (but the probability of generating 宋冠 is lower since there are few images in the dataset. I just lightly trained it on them for fun).

4. From my initial testing, the generalization seems OK. Please refer to the test images I've posted,I didn't use upscale.

Although this is a photorealistic model, using it with other models can generate anime or illustration style images.

5. It can generate various aspect ratio images, but 3:4 may work best since that's primarily what it was trained on.

6. This model focuses mainly on Hanfu clothes. Faces and hands may not be ideal, so I recommend enabling After Detailer for full body images for now. (Or I may fine tune these parts later.)

7. Finally, I welcome everyone to provide more test images and feedback! Appreciate it! love you all!